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Data Science Bookcamp (Paperback)
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Data Science Bookcamp (Paperback)
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Learn data science with Python by building five real-world
projects! In Data Science Bookcamp you'll test and build your
knowledge of Python and learn to handle the kind of open-ended
problems that professional data scientists work on daily.
Downloadable data sets and thoroughly-explained solutions help you
lock in what you've learned, building your confidence and making
you ready for an exciting new data science career. about the
technologyIn real-world practice, data scientists create innovative
solutions to novel open ended problems. Easy to learn and use, the
Python language has become the de facto language for data science
amongst researchers, developers, and business users. But knowing a
few basic algorithms is not enough to tackle a vague and thorny
problem. It takes relentless practice at cracking difficult data
tasks to achieve mastery in the field. That's just what this book
delivers. about the book Data Science Bookcamp is a comprehensive
set of challenging projects carefully designed to grow your data
science skills from novice to master. Veteran data scientist
Leonard Apeltsin sets five increasingly difficult exercises that
test your abilities against the kind of problems you'd encounter in
the real world. As you solve each challenge, you'll acquire and
expand the data science and Python skills you'll use as a
professional data scientist. Ranging from text processing to
machine learning, each project comes complete with a unique
downloadable data set and a fully-explained step-by-step solution.
Because these projects come from Dr. Apeltsin's vast experience,
each solution highlights the most likely failure points along with
practical advice for getting past unexpected pitfalls. When you
wrap up these five awesome exercises, you'll have a diverse
relevant skill set that's transferable to working in industry.
what's inside Five in-depth Python exercises with full downloadable
data sets Web scraping for text and images Organise datasets with
clustering algorithms Visualize complex multi-variable datasets
Train a decision tree machine learning algorithm about the
readerFor readers who know the basics of Python. No prior data
science or machine learning skills required. about the author
Leonard Apeltsin is a senior data scientist and engineering lead at
Primer AI, a startup that specializes in using advanced Natural
Language Processing techniques to extract insight from terabytes of
unstructured text data. His PhD research focused on bioinformatics
that required analyzing millions of sequenced DNA patterns to
uncover genetic links in deadly diseases.
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